Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective study.

Journal: International journal of medical informatics
PMID:

Abstract

OBJECTIVE: To compare the performance of machine learning and logistic regression algorithms in predicting emergence delirium (ED) in elderly patients.

Authors

  • Yufan Lu
    Department of Anesthesia Surgery, Taizhou Central Hospital (Taizhou University Hospital), Zhejiang, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Shengqiang Chi
    Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang Province, China.
  • Yan Feng
    Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Lawrenceville, New Jersey, USA.
  • Gaowei Li
    Department of Anesthesia Surgery, Taizhou Central Hospital (Taizhou University Hospital), Zhejiang, China.
  • Xuezheng Lin
    Department of Anesthesia Surgery, Taizhou Central Hospital (Taizhou University Hospital), Zhejiang, China.
  • Jie Jin
    Department of Hematology, First Affiliated Hospital of Zhejiang University College of Medicine, Zhejiang, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.